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data engineer

ACE Money Transfer

<div>
 
 Job Title:
 
 Data Engineer
 
 
 
 Location:
 
 Lahore / Kharian
 
 
 
 Position Type:
 
 Full-Time
 
 
 
 Job Overview:
 
 
 
 This role focuses on developing and implementing data warehouse solutions across the organization while managing large sets of structured and unstructured data. The Data Engineer will analyse complex customer requirements, define data transformation rules, and oversee their implementation. The ideal candidate should have a solid understanding of data acquisition, integration, and transformation, with the ability to evaluate and recommend optimal architecture and approaches.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design Data Pipelines: Develop robust data pipelines capable of handling both structured and unstructured data effectively
 </li>
 <li>
 Build Data Ingestion and ETL Processes: Create efficient data ingestion pipelines and ETL processes, including low-latency data acquisition and stream processing using tools like Kafka or Glue
 </li>
 <li>
 Develop Integration Procedures: Design and implement processes to integrate data warehouse solutions into operational IT environments
 </li>
 <li>
 Data Lake Management: Manage and optimize the data lake on AWS, ensuring efficient data storage, retrieval, and transformation. Implement best practices for organizing and managing raw, processed, and curated data, with scalability and future growth in mind
 </li>
 <li>
 Optimize SQL and Shell Scripts: Write, optimize, and maintain complex SQL queries and shell scripts to ensure efficient data processing
 </li>
 <li>
 Monitor and Optimize Performance: Continuously monitor system performance and recommend necessary configurations or infrastructure improvements
 </li>
 <li>
 Document and Present Workflows: Prepare detailed documentation, collaborate with cross functional teams, present complete data workflows to teams, and maintain an up-to-date knowledge base
 </li>
 <li>
 Governance &amp; Quality: Develop and maintain data quality checks to ensure data in the lake and warehouse remains accurate, consistent, and reliable
 </li>
 <li>
 Collaboration with Stakeholders: Work closely with CTO, PMOs, business and data analysts to gather requirements and ensure alignment with project goals
 </li>
 <li>
 Scope and Manage Projects: Collaborate with project managers to scope projects, create detailed work breakdown structures, and conduct risk assessments
 </li>
 <li>
 Research &amp; Development (R&amp;D): Keep up with the latest technological trends and identify innovative solutions to address customer challenges and company priorities
 
 
 </li>
 </ul>
 
 Skills and Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Engineering, Computer Science, or equivalent experience
 </li>
 <li>
 At least 4+ years of relevant experience as a Data Engineer
 </li>
 <li>
 Hands-on experience with cloud platforms such as AWS, Azure, or GCP, and familiarity with respective cloud services
 </li>
 <li>
 Hands-on experience with one or more ETL tools such as Glue, Spark, Kafka, Informatica, DataStage, Talend, Azure Data Factory (ADF)
 </li>
 <li>
 Strong understanding of dimensional modeling techniques, including Star and Snowflake schemas
 </li>
 <li>
 Experience in creating semantic models and reporting mapping documents
 </li>
 <li>
 Solid concepts and experience in designing and developing ETL architectures
 </li>
 <li>
 Strong understanding of RDBMS concepts and proficiency in SQL development
 </li>
 <li>
 Proficiency in data modeling and mapping techniques
 </li>
 <li>
 Experience integrating data from multiple sources
 </li>
 <li>
 Experience working in distributed environments, including clustering and sharding
 </li>
 <li>
 Knowledge of Big Data tools like Pig, Hive or NiFi would be a plus
 </li>
 <li>
 Experience with Hadoop distributions like Cloudera or Hortonworks would be a plus
 </li>
 <li>
 Excellent communication and presentation skills, both verbal and written
 </li>
 <li>
 Ability to solve problems using a creative and logical approach
 </li>
 <li>
 Self-motivated, analytical, detail-oriented, and organized, with a commitment to excellence
 </li>
 <li>
 Experience in the financial services sector is a plus
 
 
 </li>
 </ul>
 ACE Money Transfer Profile:https://acemoneytransfer.com/company-profile
 
 
 Powered by JazzHR
 
 
 uSMpImfhWS
</div>

Data Engineer

Algo

<div>Job Title: Data Engineer 
Location: DHA Phase-8, Lahore 
 
Job Responsibilities: 
1. Design, build, and maintain efficient and scalable ETL/ELT data pipelines using tools like Azure Data Factory or Apache Airflow 
2. Develop, test, and deploy Python-based data processing solutions 
3. Work with Snowflake, Databricks and other data warehousing technologies to support data analytics and reporting needs 
4. Write complex and optimized SQL queries for data transformation and extraction 
5. Ensure data quality, accuracy, and compliance with internal and external standards 
6. Collaborate with data engineers, analysts, and stakeholders to define and implement data workflows 
7. Utilize version control (Git) and CI/CD pipelines for code deployment and process 
automation 
8. (Optional/Preferred) Support backend services using Django and task queues with 
Celery 
 
Qualifications Needed:

Qualifications Needed:
<ul>
<li>Python 
</li>
<li>SQL 
</li>
<li>Snowflake 
</li>
<li>Databricks 
</li>
<li>Azure (or AWS) 
</li>
<li>ETL/ELT 
</li>
<li>ADF / Apache Airflow 
</li>
<li>Data Warehousing 
</li>
<li>Git 
</li>
<li>CI/CD 
</li>
<li>Django (preferred) 
</li>
<li>Celery (preferred)</li></ul></div>

Data Engineer (4-5 Years)

Devsinc

<div>
 
 Devsinc
 
 is looking for a talented and dynamic
 
 Data Science | Data Engineer (SE1/SE2)
 
 to join our innovative team. As a Data Science | Data Engineer, you will play a critical role in building robust data pipelines and developing data-driven solutions that empower our clients to make informed decisions. Your expertise in both data engineering and data science methodologies will be key in architecting data infrastructure, optimizing data processes, and delivering analytics solutions that meet business needs.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design, develop, and maintain scalable data pipelines to ensure high-quality data accessibility for analytics and modeling
 </li>
 <li>
 Implement and optimize ETL processes, focusing on data transformation, integration, and cleansing
 </li>
 <li>
 Collaborate with cross-functional teams to understand data requirements and deliver effective data models that support business analytics
 </li>
 <li>
 Apply statistical analysis and machine learning techniques to solve complex data challenges and generate actionable insights
 </li>
 <li>
 Monitor and troubleshoot data systems, ensuring data integrity and performance optimization across data workflows
 </li>
 <li>
 Stay current with industry trends, technologies, and best practices in data engineering and data science
 </li>
 <li>
 Contribute to the development of dashboards and reporting tools to visualize data and support decision-making processes
 </li>
 <li>
 Document data processes and architectures to facilitate knowledge sharing and promote compliance with data governance standards
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, or a related field
 </li>
 <li>
 1-3 years of experience in data engineering, data science, or related roles
 </li>
 <li>
 Proficiency in SQL and experience with database management (e.g., PostgreSQL, MySQL, MongoDB)
 </li>
 <li>
 Experience with data engineering tools and frameworks such as Apache Spark, Hadoop, or similar technologies
 </li>
 <li>
 Solid understanding of machine learning algorithms and experience implementing predictive analytics models
 </li>
 <li>
 Familiarity with programming languages such as Python or R for data processing and analysis
 </li>
 <li>
 Knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus
 </li>
 <li>
 Excellent problem-solving abilities and analytical skills, with a keen attention to detail
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Strong communication skills, capable of presenting complex data concepts to technical and non-technical stakeholders
 </li>
 <li>
 A collaborative mindset, with the ability to work effectively in a team environment
 </li>
 <li>
 Commitment to continuous learning and professional development in data science and engineering
 </li>
 </ul>
</div>

Software Engineer - Data Engineer

JiBe ERP

<div>
 
 
 Job Objectives:
 
 
 
 
 
 
 JiBe is a cloud based fully integrated ERP system for the shipping industry. Our goal is to allow shipping companies to improve productivity, efficiency and safety levels, while reducing costs. JiBe ERP enables increased automation and streamlining of processes, creating pre-defined work flows and reducing the usage of email and paper.
 
 
 
 
 
 
 Job Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Provide Data Analytics Platform and a function for all Web application in existing and upcoming projects. Data Analyst will turn data into information and information into insight to help drive decisions.
 </li>
 <li>
 Extracts data from a variety of sources for use in analysis and models; completes ad-hoc reporting and data analysis.
 </li>
 <li>
 Identify relevant data, analyze, and interpret trends or patterns in complex data sets
 </li>
 <li>
 Analyze and generate actionable insights from structured and unstructured data (to be included) and effectively communicate findings and solutions with various groups
 </li>
 <li>
 Perform routine reporting and ad hoc analysis of operational metric and other management reports
 </li>
 <li>
 Assist with developing and using statistical modelling
 </li>
 <li>
 Data scientists will be responsible for building and implementing next generation predictive models leveraging traditional and non-traditional data.
 </li>
 <li>
 In addition, data scientists will be responsible for evaluating multiple machine learning and regression techniques for specific use cases.
 </li>
 <li>
 Data Scientists will work closely with internal stakeholders and be able to implement analytical solutions to drive higher ROI.
 </li>
 <li>
 Data scientists will interact and at times work with external partners in the industry to ensure he/she remains abreast with the knowledge in analytics domain
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Information Technologies
 </li>
 <li>
 2+ years&rsquo; professional experience
 </li>
 <li>
 Advanced analytical knowledge of data
 </li>
 <li>
 Conducting big data analysis
 </li>
 <li>
 Developing software and data models
 </li>
 <li>
 Executing predictive analytics
 </li>
 <li>
 Familiarity with reporting tools
 </li>
 <li>
 Proficient with one or more programming languages (Python, R, etc.)
 </li>
 </ul>
</div>

Data Scientist

ibex

<div>
 We are looking for a proactive and analytical
 
 Data Scientist
 
 to join our growing team. The ideal candidate will be deeply passionate about working with data, possess a strong foundation in statistical analysis and machine learning, and demonstrate the ability to derive actionable insights from complex datasets. This role requires experience in data wrangling, exploratory data analysis (EDA), and hands-on implementation of data science techniques, including Natural Language Processing (NLP).
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collect, clean, and organize structured and unstructured data from diverse sources.
 </li>
 <li>
 Ensure data accuracy, consistency, and readiness for analysis.
 </li>
 <li>
 Perform thorough EDA to understand data distributions, relationships, and anomalies.
 </li>
 <li>
 Use visualization tools (e.g., Matplotlib, Seaborn, Pandas) to communicate findings.
 </li>
 <li>
 Work closely with business teams to identify trends and patterns that guide decisions.
 </li>
 <li>
 Handle missing data, outliers, and normalization techniques effectively.
 </li>
 <li>
 Transform raw data into features suitable for modeling and insights.
 </li>
 <li>
 Automate and optimize data preparation pipelines.
 </li>
 <li>
 Develop NLP pipelines for text classification, sentiment analysis, named entity recognition, and more.
 </li>
 <li>
 Work with tools such as NLTK, Hugging Face Transformers, and BERT-based models.
 </li>
 <li>
 Analyze and process unstructured text data for business use cases.
 </li>
 <li>
 Translate complex data problems into clear, actionable insights.
 </li>
 <li>
 Proactively identify opportunities for data-driven improvements across departments.
 </li>
 <li>
 Conduct root cause analysis and support hypothesis-driven investigations.
 </li>
 <li>
 Work closely with cross-functional teams including data engineers, analysts, and product stakeholders.
 </li>
 <li>
 Exhibit a high level of accountability, ownership, and willingness to support teammates.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.
 </li>
 <li>
 2&ndash;3 years of experience in a data science role.
 </li>
 <li>
 Proficiency in Python (NumPy, Pandas, Scikit-learn), SQL and MongoDB
 </li>
 <li>
 Hands-on experience with NLP frameworks such as NLTK, or Hugging Face.
 </li>
 <li>
 Solid understanding of machine learning algorithms and data modeling techniques.
 </li>
 <li>
 Strong data visualization and storytelling skills.
 </li>
 <li>
 Excellent problem-solving and critical thinking abilities.
 </li>
 <li>
 Strong communication skills and a collaborative mindset.
 </li>
 </ul>
</div>

Data Scientist, Tech

Tkxel

<div>
 
 
 We need a resource&mdash;ideally a data scientist&mdash;who can help prototype and validate this in the client&rsquo;s environment. Key capabilities:
 
 
 <ul>
 <li>
 
 Statistical / econometric modeling (logistic &amp; log-log regressions, hierarchical shrinkage)
 
 
 </li>
 <li>
 
 Price-optimization or revenue-management experience
 
 
 </li>
 <li>
 
 Python data stack (pandas, numpy, statsmodels, scikit-learn or PyMC)
 
 
 </li>
 <li>
 
 Decision-tree segmentation and clustering
 
 
 </li>
 <li>
 
 Simulation / scenario analysis for guard-rail testing
 
 
 </li>
 <li>
 
 Solid SQL &amp; data-engineering fundamentals
 
 
 </li>
 </ul>
</div>

<div>Job Responsibilities:
<div>
<ul><li>Design, develop, and maintain backend systems using .NET Core with a focus on data processing.</li></ul>
<ul><li>Write advanced SQL queries, including complex joins, aggregations, and calculations tailored for retail</li></ul>
<ul><li>and transactional data.</li></ul>
<ul><li>Develop and optimize database schemas, stored procedures, and indexing strategies for efficient data</li></ul>
<ul><li>access.</li></ul>
<ul><li>Work on query performance optimization, ensuring fast response times and scalable solutions.</li></ul>
<ul><li>Handle large datasets, ensuring data integrity and quality, especially for retail-related metrics such as</li></ul>
<ul><li>sales calculations, inventory management, and customer data analytics.</li></ul>
<ul><li>Collaborate with data engineers to support data integration, ETL pipelines, and data warehousing</li></ul>
<ul><li>solutions.</li></ul>
<ul><li>Troubleshoot database-related performance issues, ensuring minimal downtime and maximum</li></ul>
<ul><li>efficiency.</li></ul>
<ul><li>Stay updated on the latest SQL and database performance tuning best practices.</li></ul>
<ul><li>Required Skills and Qualifications:</li></ul>
<ul><li>Bachelor&rsquo;sdegreeinComputerScience,Engineering,orrelatedfield.</li></ul>
<ul><li>4-5 years of experience in backend development with a strong emphasis on database design and</li></ul>
<ul><li>optimization.</li></ul>
<ul><li>Expertise in SQL, including advanced query writing, stored procedures, and performance tuning</li></ul>
<ul><li>(experience with databases like MS SQL, PostgreSQL).</li></ul>
<ul><li>Experience in writing calculations and handling datasets relevant to the retail industry (e.g., sales,</li></ul>
<ul><li>inventory, and customer transaction data).</li></ul>
<ul><li>Strong knowledge of database indexing, partitioning, and query optimization techniques.</li></ul></div></div>

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678 data engineer jobs IN Lahore

Data Engineer

Data Engineer (4-5 Years)

Software Engineer - Data Engineer

Data Scientist

Data Scientist, Tech

Data Scientist

.Net Developer